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* Metric Name: Unemployment Percentile *  

* Tier: 1  

* Data Vintage: 10/2021  

* Unit Of Measure: Percent, 0 to 100, unemployed population  

* Represent element and pillar: Yes  

* Type and distribution of data: Asymmetric distribution representing percent values. Raw data range from 0 to 100.  

* Translation: Where is unemployment percentile the lowest?  

* Translation method and outcome: Raw data values translated to **** range from +1 to -1 representing more favorable to less favorable conditions, respectively, with investments begin directed at less favorable areas to improve conditions, in this case to infuse resources into communities that are most in need. **** The proposition of more favorable is based on the objective of understanding where community investments are less critical (negative linear slope). More favorable (translated to +1) set at 0% unemployment population, and less favorable (translated to -1) set at 100% unemployment population. 

Figure 182. Histogram and scoring criterion of current condition of
unemployment percentile across the Southern California

Figure 183. Histogram of translated current condition of unemployment
percentile across the Southern California

Figure 184. Maps displaying raw metric and translated metric of current
condition of unemployment percentile across the Southern California

  

* Metric Definition and Relevance: Percentage of the population over the age of 16 that is unemployed and eligible for the labor force. Excludes retirees, students, homemakers, institutionalized persons except prisoners, those not looking for work, and military personnel on active duty (5-year estimate, 2015-2019).

Because low socioeconomic status often goes hand-in-hand with high
unemployment, the rate of unemployment is a factor commonly used in describing
disadvantaged communities. On an individual level, unemployment is a source of
stress, which is implicated in poor health reported by residents of such
communities. Lack of employment and resulting low income often constrain
people to live in neighborhoods with higher levels of pollution and
environmental degradation.

  

* Credits: California Environmental Protection Agency, CalEnviroScreen 4.0 \--Office of Environmental Health Hazard Assessment, CAL EPA